Token Map
nexu-io/open-design
Map an extracted Figma / source-code token bag onto the active OD design system, producing a deterministic mapping the generate stage can consume.
Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events.
Apache-2.0Auto-check passed
Install Dt Sec Semantic Mapping
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-sec-semantic-mapping --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dt-sec-semantic-mapping .claude/skills/dt-sec-semantic-mapping && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dt-sec-semantic-mapping" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-sec-semantic-mapping into .claude/skills/dt-sec-semantic-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-sec-semantic-mapping", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-sec-semantic-mappingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-sec-semantic-mapping --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dt-sec-semantic-mapping .agents/skills/dt-sec-semantic-mapping && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dt-sec-semantic-mapping" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-sec-semantic-mapping into .agents/skills/dt-sec-semantic-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-sec-semantic-mapping", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-sec-semantic-mapping --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dt-sec-semantic-mapping .cursor/skills/dt-sec-semantic-mapping && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dt-sec-semantic-mapping" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-sec-semantic-mapping into .cursor/skills/dt-sec-semantic-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-sec-semantic-mapping", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Dynatrace/dynatrace-for-ai.git --path skills/dt-sec-semantic-mapping--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-sec-semantic-mapping --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dt-sec-semantic-mapping .gemini/skills/dt-sec-semantic-mapping && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dt-sec-semantic-mapping" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-sec-semantic-mapping into .gemini/skills/dt-sec-semantic-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-sec-semantic-mapping", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Dynatrace/dynatrace-for-ai dt-sec-semantic-mappingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dt-sec-semantic-mapping .github/skills/dt-sec-semantic-mapping && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dt-sec-semantic-mapping" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-sec-semantic-mapping into .github/skills/dt-sec-semantic-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-sec-semantic-mapping", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-sec-semantic-mapping --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dt-sec-semantic-mapping .opencode/skills/dt-sec-semantic-mapping && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dt-sec-semantic-mapping" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-sec-semantic-mapping into .opencode/skills/dt-sec-semantic-mapping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-sec-semantic-mapping", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dt-sec-semantic-mapping- GitHub stars
- 162
- Token cost
- ~1.5k tokens
- SKILL.md length
- 584 words
- Files
- 21 (incl. references)
- Skills in repo
- 33
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events.
- : mapping a new security vendor data to Dynatrace SD
- SKILL.md covers Purpose, Semantic Dictionary, Required Inputs and Baseline Sources…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Checking required fields
What it does
Dt Sec Semantic Mapping is an agent skill from Dynatrace/dynatrace-for-ai. Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events. Use when: mapping a new security vendor data to Dynatrace SD; checking required fields; validating namespaces; highlighting discrepancies vs the semantic dictionary; proposing mapping improvements; running runtime validation against live tenant data.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files (for example `references/intake-and-constraints.md`, `references/mapping-workflow.md` and `references/runtime-validation.md`).
The repository describes itself as: Skills, prompts, and instructions for building AI agents on top of Dynatrace production context. The licence is Apache-2.0.
When your agent uses it
- : mapping a new security vendor data to Dynatrace SD
- Checking required fields
- Validating namespaces
- Highlighting discrepancies vs the semantic dictionary
Example prompts
- “/dt-sec-semantic-mapping”
What it can do on your machine
Read from SKILL.md and the folder at commit 4f9aa71. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.dynatrace.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dt Sec Semantic Mapping loads about 1.5k tokens when it runs, and up to ~44k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 584 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Dynatrace/dynatrace-for-ai at commit 4f9aa71, republished under its Apache-2.0 licence (© Dynatrace). 584 words, ~1,470 tokens.
Download SKILL.mdSave it as
.claude/skills/dt-sec-semantic-mapping/SKILL.md (or your agent's skills folder). This skill also uses 20 other files; get the full folder from GitHub.- name
- dt-sec-semantic-mapping
- description
- Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events. Use when: mapping a new security vendor data to Dynatrace SD; checking required fields; validating namespaces; highlighting discrepancies vs the semantic dictionary; proposing mapping improvements; running runtime validation against live tenant data.
- license
- Apache-2.0
dt-sec-semantic-mapping
Build and validate semantic-dictionary-aligned mappings for new security integrations.
Purpose
Use this skill when a user wants to:
- Suggest a mapping from vendor API output to Dynatrace
security.eventsfields (Workflow A). - Validate an existing mapping for completeness and quality against:
- Local baseline samples and semantic dictionary (Workflow B1 — static, offline validation), or
- Live tenant data via live tenant access (Workflow B2 — runtime validation)
- Highlight discrepancies vs. the Semantic Dictionary and local references.
- Get actionable mapping improvements.
Semantic Dictionary
The Semantic Dictionary (SD) defines the canonical field set for security.events. See references/semantic-reference.md for the canonical reference: local-vs-live sources, queryable Grail tables, when-to-query decision matrix, and the authority rule (live SD wins on disagreement).
Required Inputs
Always run the intake checklist in references/intake-and-constraints.md before generating or validating a mapping. If inputs are incomplete, continue with a partial draft but explicitly list missing evidence and confidence limits.
Baseline Sources (self-contained)
All baseline material lives inside this skill:
samples/— real integration payloads covering all finding types and providers. Consulted as a fallback when primary references (SD, data-model-notes, known-discrepancies, validation-rules, object-type-expectations) leave a specific question unresolved — not as a routine step on every workflow run.references/semantic-reference.md— SD reference, field taxonomy, event types, provider taxonomy, and entity scopingreferences/validation-policy-and-reporting.md— validation rules, acceptable discrepancies, and report templatesreferences/intake-and-constraints.md— intake checklist, output contract,object.typeexpectations, and OpenPipeline constraints
Event-Type Coverage Requirements
The mapping MUST address the correct set of event.type values per finding class. Detection integrations are push-based and do not use scan cycles — never require scan events for detection.
See validation-policy-and-reporting.md § Event-Type Coverage for the full table, severity rules, and the alternative-classification path when a detection-class mapping incorrectly emits *_SCAN events.
Workflows
This skill operates in three modes. Detect the mode from context:
| Mode | Input | Procedural source |
|---|---|---|
| Workflow A — Suggest a new mapping | Raw vendor API payloads only | references/mapping-workflow.md § Workflow A (Phase 1 mapping table → user approval → Phase 2 sample JSON) |
| Workflow B1 — Static validation | Existing mapping + vendor API samples | references/mapping-workflow.md § Workflow B — classify input mode (final ingested / theoretical), apply rules, produce diff-highlighted table |
| Workflow B2 — Runtime validation | Existing mapping + live tenant access | references/runtime-validation.md — load the security (AppSec) events supporting skill first (REQUIRED Step 0), then run the query pack, produce a Validation Summary table |
All workflows follow the output contracts in references/intake-and-constraints.md and the report templates in references/validation-policy-and-reporting.md. Validation rules (event-type coverage, required fields, scan references, namespace requirements, value/type checks, vendor-namespace duplication) live in references/validation-policy-and-reporting.md.
Show full SKILL.md (184 more words)Show less
Acceptable Discrepancy Policy
See references/validation-policy-and-reporting.md for the canonical list of acceptable SD deviations and vendor-namespace patterns. Do NOT raise critical/major issues for fields on that list. Genuinely unknown fields (not in local refs AND not in the live SD — see references/semantic-reference.md) must be questioned per references/validation-policy-and-reporting.md.
Scope
This skill covers:
- Mapping suggestion and refinement (Workflow A).
- Static validation against local baseline examples and semantic dictionary (Workflow B1).
- Runtime validation via live tenant access against live tenant data (Workflow B2).
- Semantic-dictionary conformance checks.
- Gap analysis and improvement recommendations.
This skill does not cover:
- Live ingestion pipeline deployment.
- Runtime DQL performance benchmarking.
- Tenant-side ingestion troubleshooting.
References
references/semantic-reference.md— SD reference plus data-model notes: local sources, live (queryable) sources, DQL patterns, when-to-query decision matrix, authority rule, field taxonomy- A skill covering full SD access patterns and Grail-table documentation — for DQL query patterns against
security.eventsand Grail tables - Semantic Dictionary (public docs)
references/intake-and-constraints.md— intake checklist, output contract, OpenPipeline constraints, andobject.typenamespace expectationsreferences/mapping-workflow.md— how to build and refine a mapping candidatereferences/validation-policy-and-reporting.md— full validation rule set, known discrepancies, and discrepancy report templatesreferences/runtime-validation.md— optional real-environment query validation pack
© Dynatrace, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 20 other files (references) in skills/dt-sec-semantic-mapping of Dynatrace/dynatrace-for-ai.
- SKILL.md
- references/intake-and-constraints.md
- references/mapping-workflow.md
- references/runtime-validation.md
- references/semantic-reference.md
- references/validation-policy-and-reporting.md
- samples/dynatrace-compliance-scans.json
- samples/dynatrace-compliance.json
- samples/dynatrace-detections-automated.json
- samples/dynatrace-detections-rap.json
- samples/dynatrace-vulnerabilities-change-events.json
- samples/dynatrace-vulnerabilities-findings.json
- samples/dynatrace-vulnerabilities-scans.json
- samples/dynatrace-vulnerabilities-state-reports.json
- samples/external-compliance.json
- samples/external-detections.json
- samples/external-threat-reports.json
- samples/external-vulnerabilities-code-artifact.json
- samples/external-vulnerabilities-container-image.json
- … and 2 more
Open the folder on GitHubat commit 4f9aa71
Compare with similar skills
Dt Sec Semantic Mapping next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dt Sec Semantic Mapping this skillDynatrace/dynatrace-for-ai | 162 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Token Mapnexu-io/open-design | 100k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Maps Geographyasgeirtj/system_prompts_leaks | 69k | — | ~717 | Automated safety check: Pass | CC0-1.0 | |
| Suggestion Boxpaperclipai/paperclip | 99k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Feature Maponyx-dot-app/onyx | 32k | — | ~459 | Automated safety check: Pass | Custom licence | |
| Semantic Liststhedaviddias/Front-End-Checklist | 74k | — | ~504 | Automated safety check: Pass | MIT |
Similar skills
Maps Geography
asgeirtj/system_prompts_leaks
Accurate maps from real geo data — use for any map, or whenever geography would make a good graphic for a deliverable
Suggestion Box
paperclipai/paperclip
Quietly suggest a concrete improvement after observing material, generalizable friction in agent work.
Feature Map
onyx-dot-app/onyx
Use the Onyx feature map (.agents/feature-map/) to learn what a product surface does, the code behind it, and what a change can break.
Semantic Lists
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Use semantic list elements.
Source Maps
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Provide source maps for production debugging.
More from Dynatrace/dynatrace-for-ai
All 33 skills in this repoDt Obs Analytics
Dynatrace/dynatrace-for-ai
Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation.
Dt Setup iOS
Dynatrace/dynatrace-for-ai
Set up the Dynatrace iOS SDK (OneAgent) in an iOS project using Swift Package Manager.
Dt Alerting
Dynatrace/dynatrace-for-ai
End-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baseline, seasonal baseline), alert event storage in Grail, problem grouping and…
Dt Obs AWS
Dynatrace/dynatrace-for-ai
AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization.
Dt Obs Ext Monitors
Dynatrace/dynatrace-for-ai
3rd-party test and monitor result ingestion into Dynatrace Grail via the platform events ingest API (platform/ingest/custom/events/).
Dt Obs Problems
Dynatrace/dynatrace-for-ai
DAVIS problem analysis including root cause identification, impact assessment, and correlation with other telemetry.
Questions about Dt Sec Semantic Mapping
What does Dt Sec Semantic Mapping do?
Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events. Dt Sec Semantic Mapping is an agent skill from Dynatrace/dynatrace-for-ai. Suggest and validate semantic dictionary (SD) mappings for new security integrations using vendor API samples or live events.
When should I use Dt Sec Semantic Mapping?
Dt Sec Semantic Mapping fits situations like: : mapping a new security vendor data to Dynatrace SD; checking required fields; validating namespaces; highlighting discrepancies vs the semantic dictionary.
How do I install Dt Sec Semantic Mapping in Claude Code?
Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a claude-code`. Or copy the skill folder (skills/dt-sec-semantic-mapping in Dynatrace/dynatrace-for-ai) into .claude/skills/dt-sec-semantic-mapping in your project. Claude Code loads it when a task matches its description.
How do I install Dt Sec Semantic Mapping in Codex?
Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a codex`. Or copy the skill folder (skills/dt-sec-semantic-mapping in Dynatrace/dynatrace-for-ai) into .agents/skills/dt-sec-semantic-mapping in your project. Codex loads it when a task matches its description.
Can I use Dt Sec Semantic Mapping in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-sec-semantic-mapping -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dt-sec-semantic-mapping, .gemini/skills/dt-sec-semantic-mapping, .github/skills/dt-sec-semantic-mapping and .opencode/skills/dt-sec-semantic-mapping in your project.
What does Dt Sec Semantic Mapping need to run?
SKILL.md names no scripts, command-line tools or credentials: Dt Sec Semantic Mapping is instructions for the agent only.
Does Dt Sec Semantic Mapping access the network?
SKILL.md names 1 domain. As links in the text: docs.dynatrace.com. This is read from the text; nothing was executed.
Is Dt Sec Semantic Mapping safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Dt Sec Semantic Mapping use?
Dt Sec Semantic Mapping is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dt Sec Semantic Mapping use?
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 43k tokens, read only when the agent opens those files.
What are the alternatives to Dt Sec Semantic Mapping?
Skills that share tags, products or a category with Dt Sec Semantic Mapping: Token Map (nexu-io/open-design, 100k stars), Maps Geography (asgeirtj/system_prompts_leaks, 69k stars), Suggestion Box (paperclipai/paperclip, 99k stars) and Feature Map (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dt Sec Semantic Mapping?
Dynatrace (a GitHub organization) maintains it in Dynatrace/dynatrace-for-ai, which has 162 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 1, 2026.
Source: Dynatrace/dynatrace-for-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.